IDEAS home Printed from https://ideas.repec.org/b/spr/mathfi/v19y2025i2d10.1007_s11579-024-00381-z.html
   My bibliography  Save this book

Fire sales, default cascades and complex financial networks

Author

Listed:
  • Hamed Amini

    (University of Florida)

  • Zhongyuan Cao

    (INRIA Paris
    Université Paris-Dauphine)

  • Agnès Sulem

    (INRIA Paris)

Abstract

We present a general tractable framework to understand the joint impact of fire sales and default cascades on systemic risk in complex financial networks. Our limit theorems quantify how price-mediated contagion across institutions with common asset holdings can worsen cascades of insolvencies in a heterogeneous financial network during a financial crisis. For given prices of illiquid assets, we show that, under some regularity assumptions, the default cascade model can be transferred to a death process problem. We model the price impact using a specified inverse demand function and state limit theorems concerning the total shares sold and the equilibrium price of illiquid assets in a stylized fire sales model. In the numerical studies we investigate the effect of heterogeneity in network structure and price impact function on the final size of the default cascade and fire sales loss.

Suggested Citation

  • Hamed Amini & Zhongyuan Cao & Agnès Sulem, 2025. "Fire sales, default cascades and complex financial networks," Mathematics and Financial Economics, Springer, volume 19, number 1, October.
  • Handle: RePEc:spr:mathfi:v:19:y:2025:i:2:d:10.1007_s11579-024-00381-z
    DOI: 10.1007/s11579-024-00381-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11579-024-00381-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11579-024-00381-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:mathfi:v:19:y:2025:i:2:d:10.1007_s11579-024-00381-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.